Colouring summaries BLEU

TitleColouring summaries BLEU
Publication TypeConference Papers
Year of Publication2003
AuthorsPastra, K, Saggion, H
Conference NameProceedings of the EACL 2003 Workshop on Evaluation Initiatives in Natural Language Processing: are evaluation methods, metrics and resources reusable?
PublisherAssociation for Computational Linguistics
AbstractWe present a text-based approach for the automatic indexing and retrieval of digital photographs taken at crime scenes. Our research prototype, SOCIS, goes beyond keyword-based approaches and methods that extract syntactic relations from captions; it relies on advanced Natural Language Processing techniques in order to extract relational facts. These relational facts consist of a “pragmatic relation” and the entities this relation connects (triples of the form: ARG1-REL-ARG2). In SOCIS, the triples are used as complex image indexing terms; however, the extraction mechanism is used not only for indexing purposes but also for image retrieval using free text queries. The retrieval mechanism computes similarity scores between query-triples and indexing-triples making use of a domain-specific ontology.